Increased Nuchal Translucency and Other Ultrasound Findings in a Case of Simpson-Golabi-Behmel Syndrome
Bibliographic record
Abstract
OBJECTIVES: Fetal imaging, in particular nuchal translucency, is playing an increasingly important role in diagnosing genetic syndromes. We report imaging findings of a male fetus with Simpson-Golabi-Behmel (SGB) syndrome. METHODS AND RESULTS: The SGB case was noted to have increased nuchal translucency on integrated prenatal screening, in conjunction with elevated maternal serum alpha fetal protein and body wall edema. Subsequent ultrasound findings at 30 weeks gestation included polyhydramnios, macrosomia, macroglossia, left-sided cleft lip and palate, nephromegaly, hepatosplenomegaly as well as an abnormal skull shape due to lamboid craniosynostosis. CONCLUSIONS: To our knowledge this is the first case report of increased nuchal translucency and craniosynostosis associated with SGB syndrome. A mutation in the glypican-3 gene was found in both the proband and the mother, who is a manifesting carrier.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".